Abstract
Knowledge of territorial distribution of population and trends of its change are very important for design of socio-economic development plan for separate regions and for whole countries. In this paper features of territorial distribution of population on settlements in Russia are studied. For study of population territorial distribution the data of all-Russian population census of 2010 are used. In total, an information about 21276 settlements are included on these data. Test with using of Pearson’s criterion of hypothesis about normal distribution law of random variable, which is a decimal logarithm of settlements population size, showed, that such hypothesis must be rejected at significance level α = 0.005. Thus, Gibrat law is not fulfilled for Russian settlements. It is established, that one entrenched system of population territorial distribution by settlements in Russia is absent currently. The largest cities Moscow and Saint Petersburg are developing separately from the rest Russian territories. Excluding Moscow and Saint Petersburg there are up to 26 different clusters of settlements. Within each of such clusters a people distribution by separate settlements is obeyed to Pareto. And Pareto distribution parameters differ from each other in the different clusters. For the largest Russian cities Zipf law does not fulfilled.
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Acknowledgments
The reported study was funded by Russian Foundation for Basic Research (RFBR) according to the research project № 19-010-00631.
I express my deep gratitude to the International Program of scientific grants of Russian Institute for Advanced Study (RIAS) of Moscow Pedagogical State University for supporting in 2018 study on project: “Development and progress of mathematical methods for dynamics analysis of socio-economic processes and systems”.
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Andreev, V.V. (2020). Features of Territorial Distribution of Population in Russia. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1295. Springer, Cham. https://doi.org/10.1007/978-3-030-63319-6_50
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